Instructions to use mesolitica/finetune-qa-t5-small-standard-bahasa-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mesolitica/finetune-qa-t5-small-standard-bahasa-cased with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mesolitica/finetune-qa-t5-small-standard-bahasa-cased") model = AutoModelForSeq2SeqLM.from_pretrained("mesolitica/finetune-qa-t5-small-standard-bahasa-cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4df990e89948fc699f7f5b079a661e20cc1c784d143eab05c8723977e66186f
- Size of remote file:
- 242 MB
- SHA256:
- e1d8b3502e892604a53a6e68bdc7fb6db2a6b6988f885ac92609e111b2987ce4
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